| Comet-atomic 2020: On symbolic and neural commonsense knowledge graphs JD Hwang, C Bhagavatula, RL Bras, J Da, K Sakaguchi, A Bosselut, ... AAAI Conference on Artificial Intelligence, 2021 | 413 | 2021 |
| Symbolic knowledge distillation: from general language models to commonsense models P West, C Bhagavatula, J Hessel, JD Hwang, L Jiang, RL Bras, X Lu, ... arXiv preprint arXiv:2110.07178, 2021 | 285 | 2021 |
| Faith and fate: Limits of transformers on compositionality N Dziri, X Lu, M Sclar, XL Li, L Jiang, BY Lin, S Welleck, P West, ... Advances in Neural Information Processing Systems 36, 2024 | 270 | 2024 |
| Social chemistry 101: Learning to reason about social and moral norms M Forbes, JD Hwang, V Shwartz, M Sap, Y Choi Conference on Empirical Methods in Natural Language Processing, 2020 | 246 | 2020 |
| Towards comprehensive syntactic and semantic annotations of the clinical narrative D Albright, A Lanfranchi, A Fredriksen, WF Styler IV, C Warner, JD Hwang, ... Journal of the American Medical Informatics Association 20 (5), 922-930, 2013 | 162 | 2013 |
| Moral stories: Situated reasoning about norms, intents, actions, and their consequences D Emelin, RL Bras, JD Hwang, M Forbes, Y Choi arXiv preprint arXiv:2012.15738, 2020 | 138 | 2020 |
| Delphi: Towards machine ethics and norms L Jiang, JD Hwang, C Bhagavatula, R Le Bras, M Forbes, J Borchardt, ... arXiv preprint arXiv:2110.07574 6, 2021 | 133 | 2021 |
| PropBank: Semantics of New Predicate Types. C Bonial, J Bonn, K Conger, JD Hwang, M Palmer LREC, 3013-3019, 2014 | 91 | 2014 |
| Can machines learn morality? the delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, J Liang, J Dodge, ... arXiv preprint arXiv:2110.07574, 2021 | 87 | 2021 |
| Back to the future: Unsupervised backprop-based decoding for counterfactual and abductive commonsense reasoning L Qin, V Shwartz, P West, C Bhagavatula, J Hwang, RL Bras, A Bosselut, ... arXiv preprint arXiv:2010.05906, 2020 | 81 | 2020 |
| English propbank annotation guidelines C Bonial, J Hwang, J Bonn, K Conger, O Babko-Malaya, M Palmer Center for Computational Language and Education Research Institute of …, 2012 | 76 | 2012 |
| Thinking like a skeptic: Defeasible inference in natural language R Rudinger, V Shwartz, JD Hwang, C Bhagavatula, M Forbes, R Le Bras, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 4661-4675, 2020 | 75 | 2020 |
| Propbank annotation guidelines C Bonial, O Babko-Malaya, JD Choi, J Hwang, M Palmer Center for Computational Language and Education Research, CU-Boulder 9, 90, 2010 | 75 | 2010 |
| Propbank annotation of multilingual light verb constructions JD Hwang, A Bhatia, C Bonial, A Mansouri, A Vaidya, N Xue, M Palmer Proceedings of the Fourth Linguistic Annotation Workshop, 82-90, 2010 | 67 | 2010 |
| Comprehensive supersense disambiguation of English prepositions and possessives OA Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin ... Proc. of ACL, 185-196, 2018 | 62* | 2018 |
| Building universal dependency treebanks in Korean J Chun, NR Han, JD Hwang, JD Choi Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 60 | 2018 |
| Do androids laugh at electric sheep? humor" understanding" benchmarks from the new yorker caption contest J Hessel, A Marasović, JD Hwang, L Lee, J Da, R Zellers, R Mankoff, ... arXiv preprint arXiv:2209.06293, 2022 | 58 | 2022 |
| A hierarchy with, of, and for preposition supersenses N Schneider, V Srikumar, JD Hwang, M Palmer The 9th Linguistic Annotation Workshop: June 05, 2015, co-located with NAACL …, 2015 | 56 | 2015 |
| Value kaleidoscope: Engaging ai with pluralistic human values, rights, and duties T Sorensen, L Jiang, JD Hwang, S Levine, V Pyatkin, P West, N Dziri, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 19937 …, 2024 | 44 | 2024 |
| The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning J Hessel, JD Hwang, JS Park, R Zellers, C Bhagavatula, A Rohrbach, ... European Conference on Computer Vision, 558-575, 2022 | 42 | 2022 |
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceEmail verificata su cs.washington.edu